On the Optimization of Yard Crane Scheduling in a Container Terminal Based on GATS

被引：0

作者：

Hu Yanhong ^{[1
]}

Sun Junqing ^{[1
,2
]}

Han Mei ^{[1
]}

Liu Fenglian ^{[1
]}

Yang Peng ^{[1
]}

Feng Meiling ^{[1
]}

机构：

[1] Tianjin Univ Technol, Tianjin Key Lab Intelligence Comp & Novel Softwar, Tianjin 300191, Peoples R China

[2] Nankai Univ, Sch Informat Sci & Technol, Tianjin 300071, Peoples R China

来源：

PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年

关键词：

Yard Crane; GATS; Scheduling; Genetic Algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Yard crane scheduling is the vital problem affecting the operational efficiency of container yard directly in the container terminal. This paper addresses yard crane scheduling problem. Firstly the mathematical model of yard crane scheduling is presented, which takes loading time, reshuffling time and waiting time of yard cranes into account. Then the hybrid intelligent algorithm GATS, which is combined by genetic algorithm (GA) and tabu search (TS), is applied to solve the problem. The computational experiments show that the algorithm GATS accelerates the speed of evolution process and gets better results than the genetic algorithm. The approach presented in this paper and its results provide references for the optimization of the yard crane scheduling and increasing the operational efficiency of the container yard in container terminals.

引用

页码：5473 / 5477

页数：5